Noah Hollmann

1.0k total citations · 1 hit paper
5 papers, 142 citations indexed

About

Noah Hollmann is a scholar working on Artificial Intelligence, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Noah Hollmann has authored 5 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Noah Hollmann's work include Imbalanced Data Classification Techniques (1 paper), Information Retrieval and Search Behavior (1 paper) and Genetic Associations and Epidemiology (1 paper). Noah Hollmann is often cited by papers focused on Imbalanced Data Classification Techniques (1 paper), Information Retrieval and Search Behavior (1 paper) and Genetic Associations and Epidemiology (1 paper). Noah Hollmann collaborates with scholars based in United Kingdom and Germany. Noah Hollmann's co-authors include Frank Hutter, Samuel Müller, Lennart Purucker, Robin Tibor Schirrmeister, Jakob Steinfeldt, Carsten Eickhoff, Ulf Landmesser, Julius Upmeier zu Belzen, John Deanfield and Thore Buergel and has published in prestigious journals such as Nature, The Lancet Digital Health and FreiDok plus (Universitätsbibliothek Freiburg).

In The Last Decade

Noah Hollmann

5 papers receiving 139 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accurate predictions on small data with a tabular foundation model

2025 106 citations Noah Hollmann, Samuel Müller et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Noah Hollmann United Kingdom	3	25	14	12	10	9	5	142
Michael Bereket United States	2	22 0.9×	24 1.7×	8 0.7×	4 0.4×	4 0.4×	3	87
Zhu Haisheng China	4	48 1.9×	71 5.1×	7 0.6×	8 0.8×	5 0.6×	7	194
Mahesh Maindarkar India	5	19 0.8×	28 2.0×	12 1.0×	4 0.4×		10	93
Alina Nechyporenko Ukraine	8	21 0.8×	18 1.3×	12 1.0×	15 1.5×	1 0.1×	28	175
Lennart Purucker Germany	2	18 0.7×	9 0.6×	3 0.3×	3 0.3×	2 0.2×	3	108
Samuel Müller United Kingdom	2	16 0.6×	9 0.6×	3 0.3×	3 0.3×	2 0.2×	3	109
Amro Alsaid United States	5	9 0.4×	31 2.2×	96 8.0×	18 1.8×	10 1.1×	21	140
Kimberly Villalobos Carballo United States	2	65 2.6×	37 2.6×	13 1.1×	12 1.2×	2 0.2×	2	147
Jiyang Zheng China	7	32 1.3×	6 0.4×	4 0.3×	43 4.3×	23 2.6×	18	147
Astri Handayani Indonesia	6	24 1.0×	66 4.7×	12 1.0×	4 0.4×	3 0.3×	32	127

Countries citing papers authored by Noah Hollmann

Since Specialization

Citations

This map shows the geographic impact of Noah Hollmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Noah Hollmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Hollmann more than expected).

Fields of papers citing papers by Noah Hollmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noah Hollmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Noah Hollmann. The network helps show where Noah Hollmann may publish in the future.

Co-authorship network of co-authors of Noah Hollmann

This figure shows the co-authorship network connecting the top 25 collaborators of Noah Hollmann. A scholar is included among the top collaborators of Noah Hollmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Noah Hollmann. Noah Hollmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Hollmann, Noah, et al.. (2025). Accurate predictions on small data with a tabular foundation model. Nature. 637(8045). 319–326. 106 indexed citations breakdown →

2.

Hollmann, Noah, et al.. (2024). Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data. FreiDok plus (Universitätsbibliothek Freiburg). 98742–98781. 2 indexed citations

3.

Hollmann, Noah, Frank Hutter, & Samuel Müller. (2023). Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering. 44753–44775. 1 indexed citations

4.

Steinfeldt, Jakob, Thore Buergel, Julius Upmeier zu Belzen, et al.. (2022). Neural network-based integration of polygenic and clinical information: development and validation of a prediction model for 10-year risk of major adverse cardiac events in the UK Biobank cohort. The Lancet Digital Health. 4(2). e84–e94. 29 indexed citations

5.

Hollmann, Noah & Carsten Eickhoff. (2017). Ranking and Feedback-based Stopping for Recall-Centric Document Retrieval.. CLEF (Working Notes). 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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